Triple
T14034987
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Norma |
E337687
|
entity |
| Predicate | hasNearbyArchaeologicalSite |
P14422
|
FINISHED |
| Object | Norba |
E1076836
|
NE FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Norba | Statement: [Norma, hasNearbyArchaeologicalSite, Norba]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Norba Context triple: [Norma, hasNearbyArchaeologicalSite, Norba]
-
A.
Norba
chosen
Norba was an ancient fortified town of Latium in central Italy, known for its strategic hilltop position and polygonal walls.
-
B.
Badoer
Badoer is an Italian noble family name historically associated with Venetian patricians and figures such as Donata Badoer, the wife of Marco Polo.
-
C.
Noga
Noga is a given name most notably borne by Israeli mathematician and computer scientist Noga Alon.
-
D.
Bairols
Bairols is a small mountain village and commune in the Alpes-Maritimes department of southeastern France, known for its picturesque setting overlooking the Tinée Valley.
-
E.
Nebat
Nebat is a biblical figure known primarily as the father of Jeroboam I, the first king of the northern Kingdom of Israel.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d81c664e48819088cbd8f433aeffe5 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2fac71188190a586049405f1071e |
completed | April 14, 2026, 12:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcb65a21088190a14808d09b2b9f42 |
completed | May 7, 2026, 3:57 p.m. |
Created at: April 9, 2026, 10:20 p.m.